Space-separated query words: ?One main thing: this is not a full-text word search. It is based on the principle of distributional semantics: having a query vector compiled from the query words, we use cosine distance to find the nearest texts in a bilingual vector space — this is how we search for papers that are close seamantically, regardless of the language and the presence of specific words. If you want to find papers that contain specific words in the title, use the metadata search below.

Show advanced filters

Conferences:

Years (since-till):

Paper author: ?In Latin script! You can use metasymbols * (to match 0 or more characters) and ? (to match 1 character)

Affiliation: ?In Latin script! You can use metasymbols * (to match 0 or more characters) and ? (to match 1 character)

Paper title: ?You can use metasymbols * (to match 0 or more characters) and ? (to match 1 character) to find titles with specific words

Number of results:

Papers with the affiliation: InfoQubes, Moscow, Russia

Paper title Paper author Affiliation Conference Year Tasks
Syntax-Based Sentiment Analysis Of Tweets In Russian url annotation Panicheva P. V.
Adaskina Ju. V.
Popov A. M.
InfoQubes, Moscow, Russia
Dialogue 2015
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Дистрибутивная семантика
Creative Commons License
RusNLP by https://nlp.rusvectores.org is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License.